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dc.contributor.author
Hirsch Jofré, Matías Eberardo
dc.contributor.author
Rodriguez, Juan Manuel
dc.contributor.author
Mateos Diaz, Cristian Maximiliano
dc.contributor.author
Zunino Suarez, Alejandro Octavio
dc.date.available
2018-09-05T21:01:18Z
dc.date.issued
2017-03
dc.identifier.citation
Hirsch Jofré, Matías Eberardo; Rodriguez, Juan Manuel; Mateos Diaz, Cristian Maximiliano; Zunino Suarez, Alejandro Octavio; A Two-Phase Energy-Aware Scheduling Approach for CPU-Intensive Jobs in Mobile Grids; Springer; Journal Of Grid Computing; 15; 1; 3-2017; 55-80
dc.identifier.issn
1570-7873
dc.identifier.uri
http://hdl.handle.net/11336/58478
dc.description.abstract
The profusion of mobile devices over the world and their evolved computational capabilities promote their inclusion as resource providers in traditional Grid environments. However, their efficient exploitation requires adapting current schedulers to operate with computing capabilities limited by energy supply and mobile devices that cannot be assumed to be dedicated, among other concerns. We propose a two-phase scheduling approach for running CPU-intensive jobs on mobile devices that combines novel energy-aware criteria with job stealing techniques. The approach was evaluated through an event-based simulator that uses battery consumption profiles extracted from real mobile devices. CPU usage derived from non-Grid processes was also modelled. For evaluating the first phase we compared the number of finalized jobs by all energy-aware criteria, while for the second phase we analyzed the performance boost introduced by job stealing. While the best first phase criteria finalized up to 90 % of submitted jobs, job stealing increased this percentage by up to 9 %.
dc.format
application/pdf
dc.language.iso
eng
dc.publisher
Springer
dc.rights
info:eu-repo/semantics/openAccess
dc.rights.uri
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.subject
Cpu Intensive Application
dc.subject
Job Scheduling
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Job Stealing
dc.subject
Mobile Devices
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Mobile Grid
dc.subject.classification
Ciencias de la Computación
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Ciencias de la Computación e Información
dc.subject.classification
CIENCIAS NATURALES Y EXACTAS
dc.subject.classification
Ciencias de la Computación
dc.subject.classification
Ciencias de la Computación e Información
dc.subject.classification
CIENCIAS NATURALES Y EXACTAS
dc.title
A Two-Phase Energy-Aware Scheduling Approach for CPU-Intensive Jobs in Mobile Grids
dc.type
info:eu-repo/semantics/article
dc.type
info:ar-repo/semantics/artículo
dc.type
info:eu-repo/semantics/publishedVersion
dc.date.updated
2018-09-05T16:11:44Z
dc.identifier.eissn
1572-9184
dc.journal.volume
15
dc.journal.number
1
dc.journal.pagination
55-80
dc.journal.pais
Alemania
dc.journal.ciudad
Berlín
dc.description.fil
Fil: Hirsch Jofré, Matías Eberardo. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Tandil. Instituto Superior de Ingeniería del Software. Universidad Nacional del Centro de la Provincia de Buenos Aires. Instituto Superior de Ingeniería del Software; Argentina
dc.description.fil
Fil: Rodriguez, Juan Manuel. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Tandil. Instituto Superior de Ingeniería del Software. Universidad Nacional del Centro de la Provincia de Buenos Aires. Instituto Superior de Ingeniería del Software; Argentina
dc.description.fil
Fil: Mateos Diaz, Cristian Maximiliano. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Tandil. Instituto Superior de Ingeniería del Software. Universidad Nacional del Centro de la Provincia de Buenos Aires. Instituto Superior de Ingeniería del Software; Argentina
dc.description.fil
Fil: Zunino Suarez, Alejandro Octavio. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Tandil. Instituto Superior de Ingeniería del Software. Universidad Nacional del Centro de la Provincia de Buenos Aires. Instituto Superior de Ingeniería del Software; Argentina
dc.journal.title
Journal Of Grid Computing
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/https://link.springer.com/article/10.1007/s10723-016-9387-6
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.1007/s10723-016-9387-6
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